journal article·2020-11-01Open access

Cholesterol content in the membrane promotes key lipid-protein interactions in a pentameric serotonin-gated ion channel

Alessandro Crnjar, Carla Molteni

Biointerphases· Volume 15· Issue 6

Abstract

Pentameric ligand-gated ion channels (pLGICs), embedded in the lipid membranes of nerve cells, mediate fast synaptic transmission and are major pharmaceutical targets. Because of their complexity and the limited knowledge of their structure, their working mechanisms have still to be fully unraveled at the molecular level. Over the past few years, evidence that the lipid membrane may modulate the function of membrane proteins, including pLGICs, has emerged. Here, we investigate, by means of molecular dynamics simulations, the behavior of the lipid membrane at the interface with the 5-HT3A receptor (5-HT3AR), a representative pLGIC which is the target of nausea-suppressant drugs, in a nonconductive state. Three lipid compositions are studied, spanning different concentrations of the phospholipids, 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine and 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine, and of cholesterol, hence a range of viscosities. A variety of lipid interactions and persistent binding events to different parts of the receptor are revealed in the investigated models, providing snapshots of the dynamical environment at the membrane-receptor interface. Some of these events result in lipid intercalation within the transmembrane domain, and others reach out to protein key sections for signal transmission and receptor activation, such as the Cys-loop and the M2-M3 loop. In particular, phospholipids, with their long hydrophobic tails, play an important role in these interactions, potentially providing a bridge between these two structures. A higher cholesterol content appears to promote lipid persistent binding to the receptor.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Nicotinic Acetylcholine Receptors Study · Receptor Mechanisms and Signaling · Neuroscience and Neuropharmacology Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Physics Department, King’s College London , Strand, London WC2R 2LS,

Funding

Engineering and Physical Sciences Research Council

References (82)

Show source-provided references
1. Chem. Rev. · 2012 · 112 · 628510.1021/cr3000829 ↗
2. Neuron · 2016 · 90 · 45210.1016/j.neuron.2016.03.032 ↗
3. Nature · 2009 · 457 · 11510.1038/nature07461 ↗
4. Nature · 2009 · 457 · 11110.1038/nature07462 ↗
5. Proc. Natl. Acad. Sci. U.S.A. · 2014 · 111 · 96610.1073/pnas.1314997111 ↗
6. Nature · 2014 · 512 · 27010.1038/nature13293 ↗
7. Nature · 2014 · 512 · 33310.1038/nature13669 ↗
8. Nature · 2014 · 512 · 27610.1038/nature13552 ↗
9. Nature · 2015 · 526 · 27710.1038/nature14972 ↗
10. Nature · 2015 · 526 · 22410.1038/nature14853 ↗
11. Structure · 2016 · 24 · 16510.1016/j.str.2015.11.004 ↗
12. Proc. Natl. Acad. Sci. U.S.A. · 2016 · 113 · E669610.1073/pnas.1603101113 ↗
13. Nature · 2018 · 559 · 6710.1038/s41586-018-0255-3 ↗
14. Nat. Commun. · 2018 · 9 · 51410.1038/s41467-018-02997-4 ↗
15. Nature · 2018 · 563 · 27010.1038/s41586-018-0660-7 ↗
16. Nature · 2018 · 563 · 27510.1038/s41586-018-0672-3 ↗
17. Chem. Rev. · 2019 · 119 · 577510.1021/acs.chemrev.8b00451 ↗
18. Biochim. Biophys. Acta · 2020 · 1862 · 18330410.1016/j.bbamem.2020.183304 ↗
19. Sci. Rep. · 2011 · 1 · 6910.1038/srep00069 ↗
20. Brain Res. Rev. · 2004 · 47 · 7110.1016/j.brainresrev.2004.06.008 ↗
21. Proc. Natl. Acad. Sci. U.S.A. · 2008 · 105 · 1441810.1073/pnas.0803029105 ↗
22. J. Neurochem. · 2007 · 103 · 7210.1111/j.1471-4159.2007.04719.x ↗
23. J. Biol. Chem. · 2009 · 284 · 1781910.1074/jbc.M900030200 ↗
24. Nat. Chem. Biol. · 2013 · 9 · 70110.1038/nchembio.1338 ↗
25. Proc. Natl. Acad. Sci. U.S.A. · 2020 · 117 · 40510.1073/pnas.1908848117 ↗
26. Biophys. J. · 2014 · 106 · 193810.1016/j.bpj.2014.03.024 ↗
27. Structure · 2020 · 28 · 13010.1016/j.str.2019.10.019 ↗
28. Proc. Natl. Acad. Sci. U.S.A. · 2020 · 117 · 178810.1073/pnas.1906823117 ↗
29. eLife · 2019 · 8 · e5076610.7554/eLife.50766 ↗
30. Nat. Chem. Biol. · 2019 · 15 · 115610.1038/s41589-019-0369-4 ↗
31. eLife · 2017 · 6 · e2388610.7554/eLife.23886 ↗
32. Proc. Natl. Acad. Sci. U.S.A. · 2018 · 115 · 1067210.1073/pnas.1809650115 ↗
33. Mol. Membr. Biol. · 2015 · 32 · 12710.3109/09687688.2015.1096971 ↗
34. Chem. Pharm. Bull. · 2013 · 61 · 42610.1248/cpb.c12-01059 ↗
35. Biochim. Biophys. Acta · 2014 · 1838 · 15810.1016/j.bbamem.2013.08.015 ↗
36. Nat. Chem. Biol. · 2016 · 12 · 3510.1038/nchembio.1960 ↗
37. Biophys. J. · 2003 · 85 · 151210.1016/S0006-3495(03)74584-6 ↗
38. Proc. Natl. Acad. Sci. U.S.A. · 2016 · 113 · E528110.1073/pnas.1606482113 ↗
39. Proc. Natl. Acad. Sci. U.S.A. · 1997 · 94 · 1137510.1073/pnas.94.21.11375 ↗
40. J. Am. Chem. Soc. · 2014 · 136 · 1455410.1021/ja507832e ↗
41. Chem. Rev. · 2019 · 119 · 618410.1021/acs.chemrev.8b00460 ↗
42. PLoS ONE · 2015 · 10 · e012683310.1371/journal.pone.0126833 ↗
43. J. Mol. Biol. · 2019 · 431 · 163310.1016/j.jmb.2019.02.030 ↗
44. J. Biol. Chem. · 2012 · 287 · 267810.1074/jbc.M111.274142 ↗
45. Biochim. Biophys. Acta · 2003 · 1610 · 27110.1016/S0005-2736(03)00024-5 ↗
46. Biophys. J. · 2003 · 84 · 307910.1016/S0006-3495(03)70033-2 ↗
47. Endocrinology · 1998 · 139 · 499110.1210/endo.139.12.6390 ↗
48. Front. Physiol. · 2013 · 4 · 3110.3389/fphys.2013.00031 ↗
49. Sci. Rep. · 2016 · 6 · 2190710.1038/srep21907 ↗
50. PLoS ONE · 2015 · 10 · 110.1371/journal.pone.0140258 ↗
51. Structure · 2016 · 24 · 81610.1016/j.str.2016.03.019 ↗
52. AIP Conf. Proc. · 2016 · 1773 · 06000110.1063/1.4964976 ↗
53. J. Phys. Chem. Lett. · 2019 · 10 · 69410.1021/acs.jpclett.8b03431 ↗
54. Nucleic Acids Res. · 2007 · 35 · W40310.1093/nar/gkm263 ↗
55. J. Comput. Chem. · 2008 · 29 · 185910.1002/jcc.20945 ↗
56. PLoS Comput. Biol. · 2012 · 8 · e100247310.1371/journal.pcbi.1002473 ↗
57. J. Comput. Chem. · 2005 · 26 · 178110.1002/jcc.20289 ↗
58. J. Chem. Theory Comput. · 2015 · 11 · 369610.1021/acs.jctc.5b00255 ↗
59. J. Chem. Theory Comput. · 2014 · 10 · 86510.1021/ct4010307 ↗
60. Living J. Comp. Mol. Sci. · 2018 · 1 · 596610.33011/livecoms.1.1.5966 ↗
61. Methods · 2007 · 41 · 47510.1016/j.ymeth.2006.08.006 ↗
62. Biochim. Biophys. Acta · 2001 · 1514 · 15910.1016/S0005-2736(01)00379-0 ↗
63. J. Chem. Theory Comput. · 2013 · 9 · 308410.1021/ct400341p ↗
64. J. Comput. Chem. · 2011 · 32 · 231910.1002/jcc.21787 ↗
65. Interface Focus · 2019 · 9 · 2018006710.1098/rsfs.2018.0067 ↗
66. J. Comput. Aided Mol. Des. · 2014 · 28 · 3510.1007/s10822-013-9704-0 ↗
67. Biochem. Soc. Trans. · 2015 · 43 · 15110.1042/BST20140259 ↗
68. J. Chem. Theory Comput. · 2016 · 12 · 339810.1021/acs.jctc.6b00303 ↗
69. Biophys. J. · 2008 · 95 · 411510.1529/biophysj.107.127589 ↗
70. J. Physiol. · 2010 · 588 · 441510.1113/jphysiol.2010.195495 ↗
71. RSC Adv. · 2019 · 9 · 464410.1039/C8RA08441F ↗
72. Biophys. J. · 2010 · 99 · 148210.1016/j.bpj.2010.06.036 ↗
73. Biophys. J. · 2004 · 87 · 373710.1529/biophysj.104.048397 ↗
74. Nature · 2005 · 438 · 24810.1038/nature04130 ↗
75. J. Phys. Chem. B · 2009 · 113 · 1214810.1021/jp9046962 ↗
76. Proc. Natl. Acad. Sci. U.S.A. · 2013 · 110 · E398710.1073/pnas.1313785110 ↗
77. Acta Pharmacol. Sin. · 2015 · 36 · 89510.1038/aps.2015.66 ↗
78. J. Physiol. · 2018 · 596 · 183310.1113/JP275236 ↗
79. J. Am. Chem. Soc. · 2020 · 142 · 941510.1021/jacs.0c02394 ↗
80. Biochem. Soc. Trans. · 2019 · 48 · 2510.1042/BST20190149 ↗
81. See supplementary material at https://doi.org/10.1116/6.0000561 for information on the RMSDs of protein sections, the MSDs and RMSFs of lipids, detailed hydrogen bonds between lipids and the M2-M3 loop and the Cys-loop, and a description of the CARC/CRAC motifs in the receptor.
82. See http://doi.org/doi:10.18742/rdm01-613 for supporting dataset.